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Although the selection of test sets is often straightforward, the selection of appropriate control sets tends not to be and requires careful understanding of the competitive hypothesis tested in enrichment studies and consideration of the appropriate control set.
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They thus increased the signal-to-noise ratio in the response function determination in a straightforward way by the selection of useful signal parts.
The methodology developed is straightforward and may also apply for the selection of drug candidates in other rare diseases.
In all scenarios presented here, the selection of a method/modification was straightforward, but this may not always be the case.
The selection of such complexes is not straightforward, especially as there is no direct correspondence between functional similarity and the similarity of the overall sequences and structures [ 32].
Therefore, it is not a straightforward process to apply conventional goodness-of-fit tests to the selection of an appropriate nonstationary probability distribution model.
Once that main time interval has been specified, the selection of the test samples becomes most straightforward.
The selection of DPE motif consensus is not straightforward.
Moreover, the selection of control design performance weighting functions is not straightforward.
This paper proposes a fuzzy multi-attribute decision making methodology for the selection of an appropriate resilience investment strategy in a succinct and straightforward manner.
The selection of the most appropriate risk-reducing strategy is not a straightforward task.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com